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Position Details
- Master fundamental theories and practical methodologies of consumer credit risk management.
- Apply statistical and machine learning techniques to analyze borrower default risks, and develop data-driven risk control models or strategies.
- Monitor key risk indicators (KRIs), identify potential risk issues, and optimize solutions.
- Collaborate closely with algorithm, product, and data warehouse teams to ensure effective implementation of risk strategies.
Qualifications - Education: Bachelor’s degree or higher in Finance, Economics, Statistics, Mathematics, Computer Science, or related fields.
- Technical Skills: Proficiency in SQL, Python, and other statistical analysis tools. Solid programming capabilities.
- Learning Agility: Ability to quickly absorb new knowledge and adapt to fast-paced work environments.
- Analytical Skills: Strong logical thinking and data analysis capabilities; able to extract a...